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Up to 80% of rare disease patients remain undiagnosed even after genomic sequencing, likely due to pathogenic variants in disease–gene associations that have yet to be discovered. To identify such associations, a rare variant gene burden analysis framework for Mendelian diseases was developed and applied to protein-coding variants from whole-genome sequencing of 34,851 cases and their family members in the 100,000 Genomes Project.
This approach uncovered 141 new disease–gene associations, including five recently supported by independent studies. After in silico triaging and expert clinical review, 69 associations were prioritized, with 30 supported by existing experimental evidence. The five strongest associations, based on genetic and experimental data, linked:
- UNC13A to monogenic diabetes (a known β cell regulator)
- GPR17 to schizophrenia
- RBFOX3 to epilepsy
- ARPC3 to Charcot–Marie–Tooth disease
- POMK to anterior segment ocular abnormalities
Further validation of these and other associations could lead to new diagnoses, highlighting the clinical impact of large-scale statistical approaches in rare disease–gene discovery.
Read the full article here.